New Salesforce Data and AI Innovations for Retail Help Businesses Drive Efficiency and Deliver Connected Shopping Experiences - Seite 2

• Page Designer uses generative AI-powered natural language prompts to design, build, and customize ecommerce sites and pages more quickly. For example, a merchandiser can easily build a campaign landing page for a new line of running shoes by inputting a few prompts into Page Designer to quickly generate a new web page that mirrors the branding on its existing storefront.
• Return Insights in Order Management analyzes data, looks at patterns in returns activity, and uses AI to prompt retailers to make product display changes that minimize future returns. It also uses sentiment analysis to assess commentary on product reviews and return reason codes to then recommend actions that quickly address issues with specific products.
• Inventory Insights gives digital retailers a clear view of available inventory so they can ensure products remain in stock whenever possible. With near real-time access to inventory data and insights, retailers can easily manage inventory reservations and product holds, anticipate new inventory demand, and give customer service reps product recommendations that they can add to a cart for their customer.
• Customer and Product Insightsuses data from Commerce Cloud, Marketing Cloud, and Data Cloud to help merchandisers better visualize trends, such as the top product bundles sold and the most engaged shopper demographics, to build new targeted commerce experiences.

What’s new for retail marketers:

• Global Promotion Management helps retailers bring together customer marketing and promotions data with predictive insights to forecast potential promotion revenue, so retailers can easily coordinate pricing and rewards initiatives for both loyalty members and non-loyalty customers. Using guided setup with pre-defined promotion templates, marketers can quickly define, launch, and distribute omni-channel promotions with discounts and loyalty rewards to better engage with their customer base.
• Referral Marketinghelps brands launch referral programs and quickly improve conversion with pre-built templates and a built-in ‘Likely to Refer’ AI tool to identify customers with the highest likelihood of participating in referral programs. Brands can now review trends and fine-tune promotions to create connected experiences across interactive email campaigns, landing pages, A/B testing, and send-time personalization.
• Segment Creation helps retailers improve targeting and personalization using generative AI prompts, with trusted data from Data Cloud. Now, retailers can build new segments in minutes that can be activated across marketing, commerce, service touch points for tailored journeys, offers, and recommendations across the shopper experience.
• Content Creation for Marketing Cloud Engagement helps retail marketers solve content bottlenecks in their campaign and personalization strategy. Using natural language prompts powered by generative AI — grounded by first-party data within the Einstein Trust Layer — marketers can automatically create personalized on-brand visual content, email subject lines, and body copy at scale to improve customer satisfaction and conversion.

Customer perspective: “At Shoe Carnival, we pride ourselves on delivering fun, personalized shopping experiences for our customers and loyalty members, both in our stores and online. Salesforce’s unified platform empowers us to leverage data and AI to deliver a tailored omni-channel retail experience across marketing, commerce, service, and loyalty management.” – Kent Zimmerman, VP, ecommerce & CRM at Shoe Carnival